Goud/DziriBERT-summarization-goud
Summarization • Updated • 5 • 2
Datasets:
Tasks:
Summarization
Modalities:
Text
Formats:
csv
Sub-tasks:
news-articles-headline-generation
Size:
100K - 1M
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Dataset Card for Goud summarization dataset
Dataset Summary
Goud-sum contains 158k articles and their headlines extracted from Goud.ma news website. The articles are written in the Arabic script. All headlines are in Moroccan Darija, while articles may be in Moroccan Darija, in Modern Standard Arabic, or a mix of both (code-switched Moroccan Darija).
Supported Tasks and Leaderboards
Text Summarization
Languages
- Moroccan Arabic (Darija)
- Modern Standard Arabic
Dataset Structure
Data Instances
The dataset consists of article-headline pairs in string format.
Data Fields
- article: a string containing the body of the news article
- headline: a string containing the article's headline
- categories: a list of string of article categories
Data Splits
Goud-sum dataset has 3 splits: train, validation, and test. Below are the number of instances in each split.
| Dataset Split | Number of Instances in Split |
|---|---|
| Train | 139,288 |
| Validation | 9,497 |
| Test | 9,497 |
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
The text was written by journalists at Goud.
Annotations
The dataset does not contain any additional annotations.
Annotation process
[N/A]
Who are the annotators?
[N/A]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
@inproceedings{issam2022goudma,
title={Goud.ma: a News Article Dataset for Summarization in Moroccan Darija},
author={Abderrahmane Issam and Khalil Mrini},
booktitle={3rd Workshop on African Natural Language Processing},
year={2022},
url={https://openreview.net/forum?id=BMVq5MELb9}
}
Contributions
Thanks to @issam9 and @KhalilMrini for adding this dataset.
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